MRH Accessibility Analysis for Education

The maps show the fastest accessible school with different means of transport based on an inhabited 100-metre grid and a comprehensive 500-metre grid. All public schools in the areas of ‘primary school’ (n = 969), ‘continuing school’ (n = 612) and ‘upper level’ (n = 366) are taken into account. Schools that make it possible to obtain a higher education qualification are also assigned to secondary schools. In the field of higher education, only the 23 public institutions with at least 500 students shall be taken into account. Branch offices are only taken into account if they are regularly approached by at least 500 students. The opportunities are also provided within a buffer of 20 kilometers around the MRH to avoid edge effects. Comments: When calculating the nearest school/university, no territorial units such as federal states, districts or school districts are taken into account. The nearest school is always indicated. In long-distance transport, only the journeys on the railway lines from Hamburg to Berlin and Rostock are taken into account in order to meet the high importance of the stops in Schwerin and Ludwigslust. Flexible offers (AST, call buses, etc.) are only considered if they are included in the electronic timetable information. Calculation of travel times: Travel times and distances in passenger, foot and cycling traffic are based on a detailed route network based on OpenStreetMap (OSM). Travel times in passenger cars are based on road loads typical of professional traffic. In passenger cars, surcharges depending on the area type are also calculated for parking search traffic, access and set-off times as well as connections. These are based on the RIN R1 Integrated Network Design Guidelines (FGSV 2010, p. 47) and are between two and nine minutes. The data in public transport are based on the real timetable data on a normal Tuesday of the timetable period 2018/2019. Only the timetables between 6 a.m. and 8 a.m. for schools and between 9 a.m. and 12 p.m. for universities shall be taken into account. The travel time also includes walking times to and from the stop as well as a waiting time at the starting stop. The interchange frequency corresponds to the necessary changes on the fastest connection. The number of connections indicates the frequency of journeys between 6 a.m. and 8 a.m. and 9 a.m. to 12 o'clock respectively. In individual traffic by car, bike or on foot, a maximum travel time of 60 minutes is assumed. This travel time in public transport is a maximum of 120 minutes. In these two hours, the walking times to stops and all waiting times are already included. Information on the values: The value ‘999’ is a placeholder and means that no connection has been found taking into account the search criteria. The value ‘111’ is a placeholder in public transport and means that the fastest connection is a footpath. This is the case when the grid cell and the target device are assigned to the same stop. Sources: Timetable data: (Yearly timetable 2019): Prepared by TUHH; Deutsche Bahn AG, Verkehrsgesellschaft Ludwigslust-Parchim mbH, Nahbus GmbH (Nordwestmecklenburg), Stadtverkehr Schwerin GmbH Network of foot and bike paths: Processed by TUHH (gradients, speeds); based on OpenStreetMap (OSM 2019) and SRTM height data (SRTM 2000) Road network: Processed by TUHH; based on Openstreetmap (OSM 2019) Schools: Nord (2019), OpenStreetMap (2019), Harburg County (2019), LGV (2019), GDI-MV (2019) Universities: TUHH (2019)